Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/30110Registo completo
| Campo DC | Valor | Idioma |
|---|---|---|
| dc.contributor.author | Loureiro, S. M. C. | - |
| dc.contributor.author | Ferreira, M. M. | - |
| dc.contributor.author | Bilro, R. G. | - |
| dc.contributor.author | Marques, L. | - |
| dc.contributor.editor | Rust, R. T., Peres, R., Robinson, L., Nishio, C., and Garrett, T. | - |
| dc.date.accessioned | 2023-12-27T11:35:35Z | - |
| dc.date.available | 2023-12-27T11:35:35Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.citation | Loureiro, S. M. C., Ferreira, M. M., Bilro, R. G., & Marques, L. (2023). How artificial intelligence tools influence customer experience and avoidance of similarity. In R. T. Rust, R. Peres, L. Robinson, C. Nishio, & T. Garrett (Chairs), 2023 Global Marketing Conference at Seoul: Marketing and management transformation in the challenging digital environment (pp. 646-649). Global Alliance of Marketing and Management Associations. https://doi.org/10.15444/GMC2023.07.07.04 | - |
| dc.identifier.issn | 2288-825X | - |
| dc.identifier.uri | http://hdl.handle.net/10071/30110 | - |
| dc.description.abstract | The capability for Artificial Intelligence in the beauty industry is enormous, as customers are demanding increasingly customized offers that only these strategies can offer. However, there is still a scarcity of empirical research on customer experiences enabled by AI, which highlights this research's relevance, which we intend to bridge. | eng |
| dc.language.iso | eng | - |
| dc.publisher | Global Alliance of Marketing and Management Associations | - |
| dc.relation.ispartof | 2023 Global Marketing Conference at Seoul: Marketing and management transformation in the challenging digital environment | - |
| dc.rights | openAccess | - |
| dc.subject | AI-enabled tools | eng |
| dc.subject | Customer experience | eng |
| dc.subject | Brand attachment | eng |
| dc.subject | Emotional attachment | eng |
| dc.subject | Avoidance of similarity | eng |
| dc.subject | Independent self-construal | eng |
| dc.title | How artificial intelligence tools influence customer experience and avoidance of similarity | eng |
| dc.type | conferenceObject | - |
| dc.event.title | 2023 Global Marketing Conference at Seoul | - |
| dc.event.type | Conferência | pt |
| dc.event.location | Seoul, Republic of Korea | eng |
| dc.event.date | 2023 | - |
| dc.pagination | 646 - 649 | - |
| dc.peerreviewed | yes | - |
| dc.date.updated | 2023-12-27T11:33:31Z | - |
| dc.description.version | info:eu-repo/semantics/publishedVersion | - |
| dc.identifier.doi | 10.15444/GMC2023.07.07.04 | - |
| dc.subject.fos | Domínio/Área Científica::Ciências Sociais::Economia e Gestão | por |
| iscte.subject.ods | Indústria, inovação e infraestruturas | por |
| iscte.subject.ods | Produção e consumo sustentáveis | por |
| iscte.identifier.ciencia | https://ciencia.iscte-iul.pt/id/ci-pub-99544 | - |
| Aparece nas coleções: | BRU-CRI - Comunicações a conferências internacionais | |
Ficheiros deste registo:
| Ficheiro | Tamanho | Formato | |
|---|---|---|---|
| conferenceobject_99544.pdf | 427,7 kB | Adobe PDF | Ver/Abrir |
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